CA3180510A1 - Identification de containers trop remplis - Google Patents
Identification de containers trop remplisInfo
- Publication number
- CA3180510A1 CA3180510A1 CA3180510A CA3180510A CA3180510A1 CA 3180510 A1 CA3180510 A1 CA 3180510A1 CA 3180510 A CA3180510 A CA 3180510A CA 3180510 A CA3180510 A CA 3180510A CA 3180510 A1 CA3180510 A1 CA 3180510A1
- Authority
- CA
- Canada
- Prior art keywords
- images
- container
- image
- machine learning
- learning model
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/255—Detecting or recognising potential candidate objects based on visual cues, e.g. shapes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
- G06F18/2148—Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the process organisation or structure, e.g. boosting cascade
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
- G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
- G06V10/7747—Organisation of the process, e.g. bagging or boosting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
- G06V10/776—Validation; Performance evaluation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/35—Categorising the entire scene, e.g. birthday party or wedding scene
- G06V20/38—Outdoor scenes
- G06V20/39—Urban scenes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02W—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
- Y02W90/00—Enabling technologies or technologies with a potential or indirect contribution to greenhouse gas [GHG] emissions mitigation
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Multimedia (AREA)
- Evolutionary Computation (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Artificial Intelligence (AREA)
- Software Systems (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Databases & Information Systems (AREA)
- Computing Systems (AREA)
- Data Mining & Analysis (AREA)
- Life Sciences & Earth Sciences (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- General Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- Traffic Control Systems (AREA)
- Automatic Analysis And Handling Materials Therefor (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Image Analysis (AREA)
Abstract
La présente invention concerne, entre autres, les techniques qui comprennent un procédé permettant de recevoir une pluralité d'images d'un ou de plusieurs containers pendant que le ou les containers sont vidés, la pluralité d'images comprenant un ensemble d'images d'apprentissage et un ensemble de validation d'images ; à marquer chaque image de la pluralité d'images comme comprenant soit un container trop rempli, soit un container qui n'est pas trop rempli ; à traiter chaque image de la pluralité d'images afin de réduire la sollicitation d'un modèle d'apprentissage machine ; à former, et sur la base du marquage, le modèle d'apprentissage machine utilisant la pluralité d'images ; et à optimiser le modèle d'apprentissage machine en effectuant un apprentissage contre l'ensemble de validation, le modèle d'apprentissage machine optimisé étant utilisé pour générer une prédiction pour une nouvelle image d'un container, la prédiction indiquant si le container dans la nouvelle image a été trop rempli avant de vider le nouveau container.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US202063012895P | 2020-04-20 | 2020-04-20 | |
| US63/012,895 | 2020-04-20 | ||
| PCT/US2021/022761 WO2021216229A1 (fr) | 2020-04-20 | 2021-03-17 | Identification de containers trop remplis |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CA3180510A1 true CA3180510A1 (fr) | 2021-10-28 |
Family
ID=78082011
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CA3180510A Pending CA3180510A1 (fr) | 2020-04-20 | 2021-03-17 | Identification de containers trop remplis |
Country Status (6)
| Country | Link |
|---|---|
| US (2) | US11615275B2 (fr) |
| EP (1) | EP4139841A1 (fr) |
| AU (1) | AU2021258816A1 (fr) |
| CA (1) | CA3180510A1 (fr) |
| MX (1) | MX2022013150A (fr) |
| WO (1) | WO2021216229A1 (fr) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11615275B2 (en) * | 2020-04-20 | 2023-03-28 | The Heil Co. | Identifying overfilled containers |
| CN114005092B (zh) * | 2021-12-29 | 2022-04-26 | 深圳市思拓通信系统有限公司 | 一种渣土车承载量监控方法、控制器及系统 |
| FR3137779A1 (fr) * | 2022-07-07 | 2024-01-12 | Akanthas | Systeme et procede de surveillance d’enceintes de collecte de dechets en vrac |
Family Cites Families (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7738678B2 (en) * | 1995-06-07 | 2010-06-15 | Automotive Technologies International, Inc. | Light modulation techniques for imaging objects in or around a vehicle |
| US20210158308A1 (en) * | 2013-03-15 | 2021-05-27 | Compology, Inc. | Method and system for contamination assessment |
| WO2015137997A1 (fr) | 2013-03-15 | 2015-09-17 | Compology, Inc. | Système et procédé de gestion d'inventaire |
| US9342884B2 (en) | 2014-05-28 | 2016-05-17 | Cox Enterprises, Inc. | Systems and methods of monitoring waste |
| WO2017176855A1 (fr) | 2016-04-06 | 2017-10-12 | Waste Repurposing International, Inc. | Systèmes et procédés d'identification de déchets |
| EP3440428B1 (fr) * | 2016-04-08 | 2022-06-01 | Orbital Insight, Inc. | Détermination à distance d'une quantité stockée dans des conteneurs dans une région géographique |
| WO2020023927A1 (fr) | 2018-07-27 | 2020-01-30 | The Heil Co. | Analyse de contamination de déchets |
| US20200082167A1 (en) * | 2018-09-07 | 2020-03-12 | Ben Shalom | System and method for trash-detection and management |
| US10943356B2 (en) * | 2018-12-12 | 2021-03-09 | Compology, Inc. | Method and system for fill level determination |
| US20220229183A1 (en) * | 2019-05-28 | 2022-07-21 | Optonomous Technologies, Inc. | LiDAR INTEGRATED WITH SMART HEADLIGHT AND METHOD |
| US11615275B2 (en) * | 2020-04-20 | 2023-03-28 | The Heil Co. | Identifying overfilled containers |
-
2021
- 2021-03-17 US US17/204,569 patent/US11615275B2/en active Active
- 2021-03-17 MX MX2022013150A patent/MX2022013150A/es unknown
- 2021-03-17 CA CA3180510A patent/CA3180510A1/fr active Pending
- 2021-03-17 AU AU2021258816A patent/AU2021258816A1/en active Pending
- 2021-03-17 EP EP21793530.3A patent/EP4139841A1/fr active Pending
- 2021-03-17 WO PCT/US2021/022761 patent/WO2021216229A1/fr unknown
-
2023
- 2023-03-23 US US18/189,042 patent/US20230230340A1/en active Pending
Also Published As
| Publication number | Publication date |
|---|---|
| US11615275B2 (en) | 2023-03-28 |
| US20230230340A1 (en) | 2023-07-20 |
| AU2021258816A1 (en) | 2022-12-01 |
| MX2022013150A (es) | 2023-02-09 |
| US20210326658A1 (en) | 2021-10-21 |
| EP4139841A1 (fr) | 2023-03-01 |
| WO2021216229A1 (fr) | 2021-10-28 |
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